Applied AI · AI Enablement · AI Solutions

I turn messy business problems into practical AI systems.

I build AI-enabled workflows, translate technical capabilities for nontechnical teams, and design practical systems that connect data, models, and business decisions.

See my work Download résumé

LinkedIn GitHub ryan@ryanrussell.io

Experience

Work centered on AI, data, and technical problem solving.

Market Analyst · Current Company

2026 — Present

My current role spans applied AI, internal enablement, data architecture, and strategic analysis. I focus on turning ambiguous business needs into usable technical workflows.

Managed Salesforce administration and developed AWS data pipelines to support enterprise data orchestration.
Built a competitor intelligence pipeline in Microsoft Fabric using Sentinel-2 satellite imagery.
Led internal AI enablement through company-wide education, earning executive praise from the CFO, Global IT Director, and VP of Sales & Marketing.
Prototyped AI-assisted research and dashboard Copilot wrappers using Claude Code and sandboxed AWS instances.

Research Associate · Bayer (via Hunter Recruiting)

2025 — 2026

Built an automated lab-operations reporting workflow adopted across teams, reducing repetitive manual reporting.
Utilized Laboratory Information Management System (LIMS) software for sample tracking and data management.
Analyzed turnaround performance and operational bottlenecks in high-throughput genomic workflows.

Selected Projects

Things I’ve built and shipped.

Applied ML · Microsoft Fabric

Customer Churn + Volume-at-Risk

A two-model framework that separates churn probability from expected tonnage shortfall, designed to catch both disappearing accounts and large customers quietly reducing volume.

Pythonscikit-learnFabricTime-based validation

Agentic AI · AWS

ShouldIBuyThis.io

A multi-agent product decision system featuring an early-access waitlist, evaluating purchases from competing analytical perspectives to synthesize a final recommendation with confidence scoring.

LLMsAgentsAWSDynamoDBAmazon SES

AI Enablement

Enterprise AI Education

Company-wide AI education and demonstrations focused on practical adoption, prompting, workflow design, capabilities, and limitations.

AI StrategyEnablementTrainingStakeholders

Capabilities

Technical enough to build. Business-aware enough to know what to build.

AI / ML

LLM applications, RAG, agentic workflows, prompt engineering, classification, regression, model evaluation

Programming / Data

Python, Pandas, NumPy, SQL, PostgreSQL, SQLAlchemy, Salesforce

Platforms

Microsoft Fabric, Power BI, AWS Amplify, DynamoDB, S3, Amazon SES

AI Tooling

Microsoft Copilot, Copilot Studio, Claude, Gemini, Perplexity, Cursor, GitHub Copilot

Contact

Interested in applied AI, AI enablement, or AI solutions work.

I’m especially interested in roles where I can combine technical implementation, business problem framing, and AI adoption.

Get in touch